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Natural Language Interfaces with Fine-Grained User Interaction: A Case Study on Web APIs.

, , , and . SIGIR, page 855-864. ACM, (2018)

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WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding., , , and . NAACL-HLT, page 873-899. Association for Computational Linguistics, (2022)AttitudeMiner: Mining Attitude from Online Discussions., , and . HLT-NAACL, page 33-36. The Association for Computational Linguistics, (2012)Using Citations to Generate surveys of Scientific Paradigms., , , , , , , and . HLT-NAACL, page 584-592. The Association for Computational Linguistics, (2009)Understanding User Behavior For Document Recommendation., , , , , , and . WWW, page 3012-3018. ACM / IW3C2, (2020)Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News., , , , , , and . CoRR, (2020)EcoAssistant: Using LLM Assistant More Affordably and Accurately., , , and . CoRR, (2023)MetaXT: Meta Cross-Task Transfer between Disparate Label Spaces., , and . CoRR, (2021)Beyond DCG: user behavior as a predictor of a successful search., , and . WSDM, page 221-230. ACM, (2010)Fairness via Representation Neutralization., , , , , and . NeurIPS, page 12091-12103. (2021)SummerTime: Text Summarization Toolkit for Non-experts., , , , , , , and . EMNLP (Demos), page 329-338. Association for Computational Linguistics, (2021)